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Summary

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The RIDER Phantom MRI data set contains repeat phantom studies. The phantom used for all data acquisitions was a version of the EuroSpin II Test Object 5 as distributed by Diagnostic Sonar, Ltd (Livingston, West Lothian, Scotland). The phantom was comprised of 18 25-mm doped gel filled tubes and 1 20-mm tube containing 0.25 mM GdDTPA.

Scanners evaluated:

  • Scanner A – 1.5T GE 8-channel HD with BRM gradient subsystem (33 mT/m amplitude; 120 T/m-s)
  • Scanner B – 1.5T GE 8-channel HD with CRM gradient subsystem (50 mT/m amplitude; 150 T/m-s)
  • Scanner C – 1.5T Siemens Espree (VB13) with 33 mT/m amplitude, 100 T/m-s gradient subsystem
  • Scanner D – 3.0T GE 8-channel HD with TwinSpeed gradients (40 mT/m; 150 T/m-s in zoom mode) For all measurements, an 8-channel phased array head coil was used.


About the RIDER project

The Reference Image Database to Evaluate Therapy Response (RIDER) is a targeted data collection used to generate an initial consensus on how to harmonize data collection and analysis for quantitative imaging methods applied to measure the response to drug or radiation therapy.  The National Cancer Institute (NCI) has exercised a series of contracts with specific academic sites for collection of repeat "coffee break," longitudinal phantom, and patient data for a range of imaging modalities (currently computed tomography [CT] positron emission tomography [PET] CT, dynamic contrast-enhanced magnetic resonance imaging [DCE MRI], diffusion-weighted [DW] MRI) and organ sites (currently lung, breast, and neuro). The methods for data collection, analysis, and results are described in the new Combined RIDER White Paper Report (Sept 2008):

The long term goal is to provide a resource to permit harmonized methods for data collection and analysis across different commercial imaging platforms to support multi-site clinical trials, using imaging as a biomarker for therapy response. Thus, the database should permit an objective comparison of methods for data collection and analysis as a national and international resource as described in the first RIDER white paper report (2006):


Data Access

Data TypeDownload all or Query/FilterLicense
Images (DICOM, 3.4GB)

      

(Download requires the NBIA Data Retriever)

CC BY 3.0

DICOM Metadata Digest (CSV, 7 kB)

 

CC BY 3.0

Data Acquisition Details and Measurement Summary (PDF)

 

CC BY 3.0

Data Key (PDF)

 

CC BY 3.0

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics

Radiology Image Statistics

Modalities

MR

Number of Participants

10

Number of Studies

13

Number of Series

45

Number of Images

7,061

Image Size (GB)3.4


Citations & Data Usage Policy 

Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:

Data Citation

Jackson, Edward F. (2015). RIDER PHANTOM MRI [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2015.mi4qddhu  

Publication Citation

Jackson EF, Barboriak DP, Bidaut LM, Meyer CR. Magnetic resonance assessment of response to therapy: tumor change measurement, truth data and error sources.  Translational Oncology 2(4):211-5, 2009. https://doi.org/10.1593/tlo.09241

TCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915


Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. If you have a publication you'd like to add please contact TCIA's Helpdesk.

Version 1 (Current): Updated 2011/11/9

Data TypeDownload all or Query/Filter
Images (DICOM, 3.4GB)

   

(Download requires the NBIA Data Retriever)

DICOM Metadata Digest (CSV)

 

Data Acquisition Details and Measurement Summary (PDF)

 

Data Key (PDF)

 


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